Top Analysis Reporting Jobs in Spokane, WA

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Supports Finance and Accounting modernization through data extraction, transformation, analysis, visualization, process automation, predictive analytics, and AI-enabled solutions. The intern will work with enterprise systems and tools such as Oracle, Salesforce, Power BI, Python, R, SQL, and cloud analytics platforms. Responsibilities include developing financial data models, improving forecasting, identifying automation opportunities, collaborating with technical and finance stakeholders, and presenting internship project outcomes.

Leads enterprise business intelligence strategy, governance, reporting, semantic modeling, analytics delivery, and modernization. Oversees SAP BusinessObjects and DB2 reporting while advancing Snowflake, dbt, Fivetran, Prefect, governed data products, and self-service analytics. Manages BI personnel and distributed resources, prioritizes delivery, standardizes KPIs and data definitions, ensures reporting quality and performance, and partners with executives and stakeholders to align analytics capabilities with business priorities.

Administers enterprise Microsoft SQL Server and SharePoint environments across development, test, and production. Responsibilities include performance tuning, high availability, backup and recovery, disaster recovery, security, STIG and RMF compliance, automation, patching, upgrades, troubleshooting, and infrastructure support. Supports SharePoint farms, permissions, workflows, integrations, and customizations; collaborates with technical and government stakeholders; maintains documentation; participates in incident response and change management; and provides mentoring and occasional after-hours support.

Perform high-volume data entry and document classification for investment funds, file and process emails using a filing system, analyze vendor feeds, manually price instruments, establish fund mappings, validate data quality, and support ad-hoc data requests and lookup inquiries.

Design, build, optimize, and modernize enterprise Microsoft data platforms (Azure, Fabric). Develop ETL/ELT pipelines, data warehouses/lakehouses, implement governance, security, DevOps/CI-CD, and support Power BI and AI initiatives while consulting with stakeholders.

Technical lead for data engineering who designs, builds, and owns scalable Snowflake ELT pipelines and data models. Mentors engineers, drives standards, optimizes performance and costs, and partners with product, analytics, QA, and governance to deliver observable, high-quality data solutions. Contributes to platform strategy, DataOps/CI/CD adoption, and ensures data quality, testing, and documentation.

Build scalable Python backend services, data pipelines, and analytics platforms supporting fraud attribute development, machine learning model development, deployment, and monitoring. Design maintainable production systems, implement CI/CD and infrastructure as code, manage AWS and on-premises environments, improve reliability and security, troubleshoot pipelines, and process large datasets for analytics and visualization.

The Manager, R&D Data Modeler designs and governs conceptual, logical, and physical data models for R&D analytics and digital initiatives. Responsibilities include source-to-target mapping, schema optimization, data integration, metadata and naming standards, FAIR and GxP governance, model versioning, architecture workshops, platform implementation consulting, and mentoring junior modelers. The role supports scalable, interoperable data ecosystems for analytics and AI workloads across data warehouses and cloud data lakes.

Build and own AAG’s consolidated data warehouse, including production-grade infrastructure, ELT pipelines, dimensional models, and reporting layers. Integrate data from ERP, CRM, and manufacturing systems into Databricks on Azure, maintain reliable data flows, and support business decision-making across the organization. Collaborate with leadership to translate requirements into code, while managing system development, maintenance, documentation, and continuous improvement.